UW awarded NIH grant for coaching in superior knowledge analytics for behavioral and social sciences

The University of Washington’s Center for Studies in Demography & Ecology, or CSDE, together with companions within the Center for Statistics and the Social Sciences and the eScience Institute, is amongst eight awardees throughout the nation chosen to develop coaching packages in superior knowledge analytics for inhabitants well being by way of the National Institutes of Health’s Office of Behavioral and Social Sciences Research.

This five-year, $1.eight million coaching program on the UW will fund 25 academic-year graduate fellowships, develop a brand new coaching curriculum and contribute to methodological advances in well being analysis on the intersection of demography and knowledge science.

The new coaching program might be led by Zack Almquist, assistant professor of sociology, and can construct on CSDE’s graduate certificates in demographic strategies by integrating coaching in superior statistics and computational strategies.

The inaugural cohort will start this system in October and consists of graduate college students Ian Kennedy, Neal Marquez and Crystal Yu, all in sociology; Emily Pollock in anthropology; and Aja Sutton in geography.

“Our faculty are at the forefront of research programs grounded in advanced data analytics,” stated Robert Stacey, dean of the UW’s College of Arts and Sciences. “This grant recognizes the important interdisciplinary work happening across the UW, and particularly in the social sciences, to build this knowledge into much-needed education and training programs.”

Tyler McCormick, affiliate professor of sociology and statistics, and Jon Wakefield, professor of statistics and biostatistics, led the grant software with assist from Sara Curran, director of the CSDE and a professor of worldwide research, public coverage and sociology, together with college affiliated with CSDE, CSSS and the eScience Institute.

The NIH overview praised UW’s plans. “The leadership team has well-established credentials, complementary expertise, and a strong track record and the proposed program builds on an existing program with demonstrable record of success,” famous reviewers. “The curriculum – which offers coursework in statistical methods, machine learning, coding, databases, data visualization and data ethics – is well-thought-out and will provide trainees with numerous immersive opportunities.”

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